This course will teach you to design, build, and optimize AI chatbots using transformers and RAG through hands-on projects and Streamlit UI.

Building Chatbots with Open Source LLMs_ Langchain and Streamlit.png

Dockerfile-NLP.tar.gz

GROQ_API_KEY

Docker-NLP

Docker-NLP-Debug

text_classification

table_question_answering

translation

summarization

sentence_similarity

text_generation_inference

retrieval strategies

vector-stores

langchain_chains_QA

sentiment-analysis

Streamlit

This course provides a comprehensive guide to designing, building, and optimizing chatbots using modern AI technologies. It begins with an introduction to chatbots, foundational concepts in AI, and the mechanics of transformer models, equipping you with a solid understanding of how natural language processing underpins chatbot systems.

You’ll learn to implement large language models (LLMs) for tasks such as summarization, translation, and inference alongside data preparation techniques and retrieval-augmented generation (RAG) workflows using tools like LangChain. You’ll also cover advanced concepts like prompt engineering, retrieval chains, and developing user interfaces with Streamlit.

The course concludes with an integration and evaluation phase, where you’ll deploy your chatbot systems and assess performance. A hands-on capstone project solidifies these skills, making this course ideal for developing robust, user-friendly chatbots using cutting-edge AI methodologies.

Build AI Chatbots with Open-Source LLMs, LangChain, and Streamlit

What Streamlit element is used for displaying user input in a chat interface?

What Streamlit element is used for displaying user input in a chat interface?

To display API keys securely in the user interface

To make API keys accessible to everyone in the codebase

To generate dynamic API keys during runtime

To hide API keys from version control and external users

What is the primary purpose of using environment variables for API keys in coding projects?

What is the primary purpose of using environment variables for API keys in coding projects?

Which metric is used for evaluating text summarization, text generation, and machine translation software?

Which metric is used for evaluating text summarization, text generation, and machine translation software?

Which Python library is used for evaluating the knowledge and logical reasoning capabilities of large language models?

Which Python library is used for evaluating the knowledge and logical reasoning capabilities of large language models?

The interpretability of evaluation scores

The consistency of LLM training algorithms

The variety of available training datasets

Which factor contributes to the challenges of evaluating LLMs?

Which factor contributes to the challenges of evaluating LLMs?

Test your understanding of chatbots and LLM evaluation.

Introduction to Building Chatbots

Understanding Transformers

Understanding Large Language Models (LLMs)

Data Collection and Preparation

Optimizing RAG Workflows with LangChain

Prompt Engineering and Retrieval Chains

Chatbot User Interface Development with Streamlit

Chatbot Integration and Evaluation

Capstone Project

Conclusion and Future Developments

Quiz: Chatbot Integration and Evaluation